AI-1364 - USA (Massachusetts) - Staff Augmentation Service for Artificial Intelligence Engineer - Deadline November 24,2026

Vendor needs to provide staff augmentation service for artificial intelligence engineer. – Agency is seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices.• Strong knowledge of enterprise AI security practices, including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls across AI Gateway, MCP, RAG, and agentic AI implementations.• Experience in optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization while maintaining application performance and reliability.• Ability to integrate LLM–powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP–based tool connectivity, and event–driven architectures• Implement technical efforts to design, build, and deploy AWS–hosted data solutions, including large–scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics.• Participate in all aspects of the software development lifecycle (SDLC) for AWS solutions, including planning, requirements gathering, development, automated testing, and quality assurance.• Expertly troubleshoot incidents, identify root causes, fix and document complex issues, and implement preventive measures to ensure system stability.• Educate cross–functional teams on the implementation of new cloud–based data initiatives, providing associated training and technical documentation when necessary.• Demonstrate exceptional problem–solving skills, with a proven ability to see, predict, and resolve data bottlenecks or system issues before they impact business productivity.• Utilize Terraform to provision, manage, and orchestrate AWS infrastructure and Snowflake resources efficiently.• Oversee and implement upgrades, performance tuning, and access controls within Tableau Server/Cloud, ensuring seamless integration with AWS services and optimal dashboard performance.